Michael Beyeler
Affiliations: | 2020- | Computer Science | University of California, Santa Barbara, Santa Barbara, CA, United States |
| 2020- | Psychological & Brain Sciences | University of California, Santa Barbara, Santa Barbara, CA, United States |
Area:
computational neuroscience, neuroengineering, low vision, visual prosthesesWebsite:
http://bionicvisionlab.org/authors/beyeler_michaelGoogle:
"Michael Beyeler"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Elisabetta Chicca | research assistant | 2009-2010 | ETH/Uni Zurich |
| Nikil Dutt | grad student | 2012-2016 | UC Irvine (Computer Science Tree) |
| Jeffrey L. Krichmar | grad student | 2012-2016 | UC Irvine |
| Geoffrey Boynton | post-doc | 2016- | University of Washington |
| Ione Fine | post-doc | 2016- | University of Washington |
| Ariel Rokem | post-doc | 2016- | University of Washington |
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Publications
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| Brunton BW, Beyeler M. (2019) Data-driven models in human neuroscience and neuroengineering. Current Opinion in Neurobiology. 58: 21-29 |
| Beyeler M, Rounds EL, Carlson KD, et al. (2019) Neural correlates of sparse coding and dimensionality reduction. Plos Computational Biology. 15: e1006908 |
| Beyeler M, Nanduri D, Weiland JD, et al. (2019) A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports. 9: 9199 |
| Beyeler M. (2019) Commentary: Detailed Visual Cortical Responses Generated by Retinal Sheet Transplants in Rats With Severe Retinal Degeneration. Frontiers in Neuroscience. 13: 471 |
| Beyeler M, Rokem A, Boynton G, et al. (2017) Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies. Journal of Neural Engineering |
| Beyeler M, Dutt N, Krichmar JL. (2016) 3D Visual Response Properties of MSTd Emerge from an Efficient, Sparse Population Code. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 8399-415 |
| Beyeler M, Oros N, Dutt N, et al. (2015) A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks : the Official Journal of the International Neural Network Society |
| Beyeler M, Carlson KD, Chou TS, et al. (2015) CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks Proceedings of the International Joint Conference On Neural Networks. 2015 |
| Beyeler M, Richert M, Dutt ND, et al. (2014) Efficient spiking neural network model of pattern motion selectivity in visual cortex. Neuroinformatics. 12: 435-54 |
| Carlson KD, Beyeler M, Dutt N, et al. (2014) GPGPU accelerated simulation and parameter tuning for neuromorphic applications Proceedings of the Asia and South Pacific Design Automation Conference, Asp-Dac. 570-577 |